Kyle Sinzza

SS ACL D-backs

Age 20 R/R 5'9" / 160 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1467ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Arizona R…	196	.281/.404/.344	2	14	50	—	.192/.301/.228
2025	18	ROKARI	128	.360/.421/.500	1	11	93	—	.274/.325/.385
2026	19	A/ROKARI	160	.202/.344/.248	0	7	30	—	.161/.267/.197
2027PROJMLE	20	MLBARI	270	.207/.278/.287	2	6	61	0.0
2028PROJ34% MLB	21	MLBARI	52	.219/.290/.316	1	1	68	-0.0
2029PROJ48% MLB	22	MLBARI	119	.223/.294/.329	2	3	73	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 A

Speed65

Z-Con%63

BB%42

Chase%34

K%20

Whiff%20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJohnni Turbo (age 20) · Ricardo Rosario (age 19) · Albert Laboy (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 94 proj PA

wRC+†61

AVG/OBP/SLG.205 / .275 / .284

PA94

HR1

K%25

BB%8

ISO79

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$8M ctrl surplus

Tools · ContractCON 39 / POW 35

Toolsscout grade

CONTACT39

scouting grade only

POWER35

scouting grade only

EYE52

scouting grade only

SPEED59

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	17	ROK	DSL Arizona Red	—	196	160	45	4	0	2	28	28	5	14	1	281	404	344	748	62	326	14	14	346	50	—	—	—	—	—	—
2025	18	ROK	ACL D-backs	—	128	114	41	11	1	1	10	22	2	11	5	360	421	500	921	140	435	17	8	403	93	—	—	—	—	—	—
2026	19	A	Visalia Rawhide	—	62	53	10	2	0	0	7	19	0	3	0	189	283	226	510	38	294	31	11	237	13	—	—	—	—	—	—
2026	19	ROK	ACL D-backs	—	98	76	16	4	0	0	15	19	6	4	1	211	381	263	645	53	281	19	15	315	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Arizona Red	—	196	167	32	3	0	1	21	35	5	14	1	192	301	228	528	36	224	18	11	242	50	—	—	—	—	—	—
2025	18	ROK MLE	ACL D-backs	—	128	117	32	8	1	1	7	33	2	11	5	274	325	385	710	111	364	26	5	306	93	—	—	—	—	—	—
2026	19	A MLE	Visalia Rawhide	—	62	55	9	2	0	0	5	26	0	3	0	164	233	200	433	36	277	42	8	188	13	—	—	—	—	—	—
2026	19	ROK MLE	ACL D-backs	—	98	82	13	3	0	0	9	27	6	4	1	159	289	195	484	37	232	28	9	228	40	—	—	—	—	—	—
2024	17	ROK MLE	DSL Arizona Red	—	196	167	32	3	0	1	21	35	5	14	1	192	301	228	528	36	233	18	11	242	50	—	—	—	—	—	—
2024	17	ROK RAW	DSL Arizona Red	—	196	160	45	4	0	2	28	28	5	14	1	281	404	344	748	62	326	14	14	346	50	—	—	—	—	—	—
2025	18	ROK MLE	ACL D-backs	—	128	117	32	8	1	1	7	33	2	11	5	274	325	385	710	111	369	26	5	306	93	—	—	—	—	—	—
2025	18	ROK RAW	ACL D-backs	—	128	114	41	11	1	1	10	22	2	11	5	360	421	500	921	140	435	17	8	403	93	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	160	137	22	5	0	0	14	53	6	7	1	161	268	197	465	36	262	33	9	212	30	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	160	129	26	6	0	0	22	38	6	7	1	202	344	248	592	47	286	24	14	285	30	—	—	—	—	—	—
2024	17	ROK MLE	DSL Arizona Red	—	196	168	32	3	0	1	21	35	5	14	1	190	301	226	527	36	224	18	11	242	50	—	—	—	—	—	—
2025	18	ROK MLE	ACL D-backs	—	128	118	32	8	1	1	7	33	2	11	5	271	325	381	707	110	364	26	5	306	93	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	160	139	22	5	0	0	14	53	6	7	1	158	268	194	462	36	249	33	9	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Arizona Red	—	196	168	32	3	0	1	21	35	5	14	1	190	301	226	527	36	224	18	11	242	50	—	—	—	—	—	—
2025	18	ROK MLE	ACL D-backs	—	128	118	32	8	1	1	7	33	2	11	5	271	325	381	707	110	364	26	5	306	93	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	160	139	22	5	0	0	14	53	6	7	1	158	268	194	462	36	249	33	9	212	30	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	ARI	0%	270	245	49	9	1	2	20	69	3	6	1	207	278	287	564	79	275	26	7	259	61	-12	+1	+0	+3	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	ARI	34%	151	136	29	5	1	2	12	38	2	3	1	213	284	304	588	92	277	25	8	268	68	-6	+0	+0	+2	+3	-0.1
2029	22	MLB MLE	ARI	48%	246	222	48	9	1	4	19	61	3	6	1	217	289	318	606	101	279	25	8	276	73	-8	+1	+0	+3	+5	0.1
2030	23	MLB MLE	ARI	54%	340	306	67	12	2	6	27	83	4	8	2	220	292	328	620	108	280	24	8	281	76	-10	+1	+0	+4	+7	0.2
2031	24	MLB MLE	ARI	55%	402	362	80	15	2	7	32	97	5	10	2	223	295	336	631	113	282	24	8	285	79	-10	+1	+0	+4	+9	0.4
2032	25	MLB MLE	ARI	56%	437	393	87	16	2	8	35	105	6	10	3	224	297	341	638	117	283	24	8	288	81	-10	+1	+0	+5	+9	0.5
2033	26	MLB MLE	ARI	56%	454	409	92	17	2	9	36	110	6	11	3	224	297	341	638	117	282	24	8	288	81	-10	+1	+0	+5	+10	0.6
2034	27	MLB MLE	ARI	55%	461	415	92	17	2	9	37	112	6	11	3	223	296	339	635	115	282	24	8	287	80	-11	+1	+0	+5	+10	0.5
2035	28	MLB MLE	ARI	55%	459	413	91	17	2	8	37	112	6	10	3	222	294	334	628	113	281	24	8	284	78	-12	+1	-1	+5	+10	0.3
2036	29	MLB MLE	ARI	53%	451	407	89	16	2	8	36	112	5	9	3	219	291	328	620	109	280	25	8	281	76	-13	+1	-1	+5	+10	0.1
2028	21	MLB CTX	ARI	34%	52	47	10	2	0	1	4	13	1	1	0	219	290	316	606	97	287	25	8	275	68	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	ARI	48%	119	107	25	5	1	2	9	29	2	3	1	223	294	329	624	106	289	24	8	282	73	-4	+0	+0	+1	+3	0.0
2030	23	MLB CTX	ARI	54%	184	166	38	8	1	3	14	45	2	4	1	226	298	339	637	113	290	24	8	288	76	-5	+0	+0	+2	+4	0.1
2031	24	MLB CTX	ARI	55%	223	200	45	9	1	4	18	54	3	5	1	229	301	347	647	118	292	24	8	292	79	-6	+1	+0	+2	+5	0.2
2032	25	MLB CTX	ARI	56%	245	220	51	10	2	4	20	59	3	6	1	231	302	352	654	121	292	24	8	294	81	-6	+1	+0	+3	+5	0.3
2033	26	MLB CTX	ARI	56%	255	230	54	11	2	5	20	62	3	6	2	231	302	352	654	121	292	24	8	294	81	-6	+0	+0	+3	+6	0.3
2034	27	MLB CTX	ARI	55%	255	230	54	11	2	5	20	62	3	6	2	229	301	349	651	120	292	24	8	293	80	-6	+0	+0	+3	+6	0.3
2035	28	MLB CTX	ARI	55%	252	227	51	10	2	4	20	62	3	5	1	228	299	345	644	117	291	25	8	291	78	-6	+1	-0	+3	+5	0.2
2036	29	MLB CTX	ARI	53%	241	217	49	10	1	4	19	60	3	5	1	225	297	339	636	114	289	25	8	287	76	-7	+1	-1	+3	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1826	1644	377	76	12	32	144	446	23	41	10	229	300	349	649	119	294	24	8	290	75	-47	+4	-1	+20	+40	1.5
/ 162G	—	A+C		—	650	585	133	27	4	11	51	159	8	15	4	227	298	344	641	116	292	24	8	290	75	-17	+1	-0	+7	+14	0.5
Career	—	MLE		—	3979	3570	779	143	18	64	320	975	57	112	28	218	293	322	615	104	280	25	8	279	75	-93	+8	-2	+37	+76	2.6
/ 162G	—	MLE		—	650	583	127	23	3	10	52	159	9	18	5	218	291	319	611	101	281	24	8	279	75	-17	+1	-0	+7	+14	0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL D-backs · 98 PAwOBA .308 → .228 (−81)K% 19.4% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.39%	÷1.000	×1.440	—	—	27.92%
BB% (unintentional) /PA	15.31%	÷1.000	×0.620	—	×1.008	9.56%
HBP% /PA	6.12%	—	×0.720	—	×1.008	4.44%
Singles /BIP	21.05%	÷1.000	×0.820	×1.032	×1.008	17.95%
Doubles /BIP	7.02%	÷1.000	×0.720	×1.032	×1.008	5.25%
Triples /BIP	0.00%	÷1.000	×0.720	×1.032	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .308 → .228; ISO .053 → .039; BABIP .281 → .232. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AVisalia Rawhide · 62 PAwOBA .232 → .188 (−44)K% 30.6% → 41.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.65%	÷1.000	×1.360	—	—	41.68%
BB% (unintentional) /PA	11.29%	÷1.000	×0.690	—	×1.045	8.14%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	23.53%	÷1.000	×0.920	—	×1.045	22.62%
Doubles /BIP	5.88%	÷1.000	×0.830	—	×1.045	5.10%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .232 → .188; ISO .038 → .030; BABIP .294 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL D-backs · 128 PAwOBA .396 → .306 (−90)K% 17.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.19%	÷0.952	×1.440	—	—	26.01%
BB% (unintentional) /PA	7.81%	÷0.942	×0.620	—	×1.022	5.26%
HBP% /PA	1.56%	—	×0.720	—	×1.022	1.15%
Singles /BIP	30.43%	÷1.030	×0.820	×1.044	×1.022	25.88%
Doubles /BIP	11.96%	÷0.945	×0.720	×1.044	×1.022	9.73%
Triples /BIP	1.09%	÷0.939	×0.720	×1.044	×1.022	0.89%
Home runs /BIP	1.09%	÷0.862	×0.780	—	×1.022	1.01%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 106, 2B 89, 3B 88, K 90, BB 88 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .396 → .306; ISO .140 → .110; BABIP .435 → .364. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Arizona Red · 196 PAwOBA .340 → .242 (−97)K% 14.3% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.977	×1.220	—	—	17.84%
BB% (unintentional) /PA	13.78%	÷0.929	×0.700	—	×1.022	10.62%
HBP% /PA	2.55%	—	×0.700	—	×1.022	1.83%
Singles /BIP	29.55%	÷1.044	×0.680	×1.049	×1.022	20.63%
Doubles /BIP	3.03%	÷1.009	×0.600	×1.049	×1.022	1.93%
Triples /BIP	0.00%	÷1.150	×0.600	×1.049	×1.022	0.00%
Home runs /BIP	1.52%	÷1.165	×0.470	—	×1.022	0.62%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 109, 2B 102, 3B 130, K 95, BB 86 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .340 → .242; ISO .062 → .033; BABIP .326 → .224. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#3Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,920	33	44	222	291	333	+21	+18	2.8	2.8
/162	664	12	15	+7.1	+6.2	1.0	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Kyle Sinzza (OGILVIE)	20	34→39	30→35	54→59	52	205/275/284	79	275	1	2	25%	8%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johnni Turbo 2009 · A	20	38→48	37→40	54→55	36	186/225/260	74	267	4	13	31%	4%	35	-3.4	213/249/293	80	310	4	16	31%	4%	51	-2.2	250/280/336	86	301	6	19	18%	3%	70	-0.5
✕Ricardo Rosario 2022 · A	19	39	36→40	52→55	45	184/248/252	68	235	3	13	22%	6%	43	-2.8	196/262/276	80	267	6	17	27%	7%	54	-2.0	194/268/275	82	258	8	24	27%	8%	55	-0.8
✕Albert Laboy 2006 · A	19	39→38	37→40	52→45	42	187/233/255	68	227	5	9	20%	4%	38	-3.2	211/255/297	86	256	8	8	20%	5%	55	-1.9	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Ryan Vega 2016 · A	19	40	35→40	52→45	41	191/245/253	62	254	3	9	25%	5%	42	-2.9	219/272/310	91	283	7	7	24%	6%	65	-1.2	198/260/284	86	272	8	6	29%	6%	54	-0.9
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	42	177/241/251	73	261	4	13	32%	7%	40	-3.1	211/262/329	118	307	9	6	32%	7%	65	-1.2	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Edwin Gomez 2007 · A	19	40	34→40	52→50	45	188/248/242	54	254	2	16	26%	7%	40	-3.0	204/287/282	78	267	5	13	23%	10%	65	-1.2	191/302/269	79	238	6	17	20%	12%	68	-0.4
✕Conner Capel 2017 · A	20	40→48	36→45	52→55	44	191/238/258	68	240	2	13	21%	5%	40	-3.1	210/265/335	125	281	12	11	28%	7%	68	-1.0	226/297/349	123	283	12	19	23%	8%	80	-0.1
●Óscar Mercado 2015 · A	20	37→47	37→50	53→60	42	180/236/248	68	230	5	19	23%	5%	37	-3.3	205/252/275	70	255	4	26	20%	5%	49	-2.4	245/308/380	135	288	13	27	19%	7%	93	+0.7
✕Jonathan Reynoso 2012 · A	19	37→47	34→30	56→55	44	172/240/230	58	223	1	19	22%	6%	35	-3.4	203/240/265	62	259	3	20	22%	4%	42	-2.9	209/237/259	50	265	3	23	22%	3%	37	-1.0
✕Diego Infante 2018 · A	18	40→50	35→45	53→50	43	189/237/252	63	250	2	12	24%	6%	38	-3.2	194/238/262	68	291	3	10	32%	5%	40	-3.0	233/284/360	127	349	14	14	35%	6%	79	-0.2
✕Yordalin Peña 2024 · A	19	36→37	37→55	55	41	176/232/253	77	233	4	10	26%	5%	37	-3.3	188/246/290	102	278	8	14	33%	6%	51	-2.2	184/241/311	127	279	12	17	37%	6%	52	-1.2
✕Luis Barrera 2016 · A	20	40→50	36→45	50	43	190/245/252	62	259	3	6	27%	6%	41	-3.0	220/260/308	88	302	5	11	27%	5%	59	-1.7	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Wascar Adames 2009 · A	20	41	35→40	51→55	40	196/238/255	60	256	3	8	24%	5%	39	-3.1	194/249/269	75	257	4	17	25%	6%	47	-2.6	178/240/255	77	234	4	26	24%	6%	41	-1.0
✕Randy Romero 2019 · A	19	40	35→40	50→60	47	188/241/250	62	223	3	12	17%	6%	39	-3.1	208/252/273	65	241	2	22	14%	5%	48	-2.5	200/237/254	54	244	1	30	18%	4%	38	-1.0
✕Yeison Asencio 2011 · A	21	37→47	38→45	49→45	47	179/244/262	83	217	5	11	20%	7%	44	-2.8	239/271/351	112	275	8	8	16%	4%	73	-0.6	270/292/382	111	295	11	6	13%	2%	86	+0.3
✕Allen Córdoba 2015 · A	19	39→49	34→45	49→55	44	186/237/237	51	235	2	11	22%	6%	34	-3.5	231/281/302	71	278	4	13	17%	5%	66	-1.1	250/305/328	79	295	5	15	16%	6%	79	-0.1
✕George Feliz 2023 · A	20	34	39→45	54→45	38	169/229/251	81	271	6	13	38%	7%	36	-3.4	173/235/269	96	305	10	11	44%	6%	42	-2.9	160/223/268	108	267	13	9	43%	6%	36	-1.2
●Juan Lagares 2008 · A	19	40→50	38→45	52→50	40	194/241/285	91	263	4	12	27%	5%	47	-2.5	222/252/306	84	290	5	12	24%	3%	55	-1.9	276/309/387	111	347	6	13	22%	4%	93	+0.7
✕Alexander Palma 2016 · A	20	40	37→50	51→45	39	195/224/265	70	238	5	9	21%	3%	35	-3.4	219/252/328	109	266	10	8	21%	4%	61	-1.5	240/278/387	146	288	16	7	22%	4%	81	-0.0
✕Athanael Duarte 2024 · A	19	40	38→40	54→45	47	190/248/268	78	225	6	14	19%	6%	47	-2.6	183/258/265	82	267	6	7	31%	8%	51	-2.3	153/243/231	78	239	5	5	35%	9%	36	-1.0

Kyle Sinzza

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps